Triple
T11074757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLEOPATRA trial |
E261834
|
entity |
| Predicate | cancerType |
P6645
|
FINISHED |
| Object | breast cancer |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: breast cancer | Statement: [CLEOPATRA trial, cancerType, breast cancer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cancerType Context triple: [CLEOPATRA trial, cancerType, breast cancer]
-
A.
diseaseType
chosen
Indicates that one entity is classified as a specific type or category of disease in relation to another entity.
-
B.
WHOClassification
Indicates that an entity is categorized according to the World Health Organization’s official classification system.
-
C.
usedAsBiomarkerFor
Indicates that one entity serves as a biomarker for another entity, typically signaling the presence, progression, or risk of a specific condition or biological state.
-
D.
typeOfGSE
Indicates that one entity is classified as a specific type or category of Ground Support Equipment (GSE) in relation to another.
-
E.
cellType
Indicates the classification relationship that specifies what type of cell an entity is or is associated with.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7994efb608190a81bc8c4d16ddbd0 |
completed | April 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69d74415403c81909778bcd829e8832e |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.